Joint economic lot-sizing problem for a two-stage supply chain with price-sensitive demand

被引:0
|
作者
Sarakhsi, M. Khojaste [1 ]
Ghomi, S. M. T. Fatemi [1 ]
Karimi, B. [1 ]
机构
[1] Amirkabir Univ Technol, Dept Ind Engn, 424 Hafez Ave, Tehran, Iran
关键词
Joint economic lot-sizing problem; Price-sensitive demand; Geometric shipment policy; Geometric-then-equal size shipment policy; Optimal shipment policy; INTEGRATED INVENTORY MODEL; SHIPMENT POLICY; SIZE MODEL; VENDOR; DECISIONS; PURCHASER; SYSTEM;
D O I
10.24200/sci.2016.3911
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper studies Joint Economic Lot-Sizing problem (JELS) for a single-vendor single-buyer system while demand is dependent on selling price. This problem is modeled for geometric shipment policy and a solution procedure is developed to find a well approximation of the global optimal solution of the problem. Since the equalsize shipment policy or geometric shipment policy may yield more joint profit compared to each other, the most important factor that affects the break-even point of geometric and equal-size policies is determined. The JELS problem for dependent demand is also modeled for geometric-then-equal size and optimal shipment policies. Solution procedures to find a well approximation of the global optimum of each problem are also developed for these models. The models and solution procedures for geometric, geometric-then-equal size, and shipment policies are novel in the literature. Numerical results of the models show considerable improvement in the joint profit of the chain compared to lot-for-lot and equal-size shipment policies for chains with price-sensitive demand and it could be very interesting for supply chain coordinators and practitioners. (C) 2016 Sharif University of Technology. All rights reserved.
引用
收藏
页码:1474 / 1487
页数:14
相关论文
共 50 条
  • [41] Shop floor lot-sizing and scheduling with a two-stage stochastic programming model considering uncertain demand and workforce efficiency
    Li, Yihua
    Hu, Guiping
    COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 111 : 263 - 271
  • [42] Optimization of a Two-Echelon Location Lot-Sizing Routing Problem with Deterministic Demand
    Kechmane, Laila
    Nsiri, Benayad
    Baalal, Azeddine
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [43] Pharmaceutical Supply Chain in China: Pricing and Production Decisions with Price-Sensitive and Uncertain Demand
    Wu, Suhan
    Luo, Min
    Zhang, Jingxia
    Zhang, Daoheng
    Zhang, Lianmin
    SUSTAINABILITY, 2022, 14 (13)
  • [44] Risk pooling strategy in a multi-echelon supply chain with price-sensitive demand
    Yue Dai
    Shu-Cherng Fang
    Xiaoli Ling
    Henry L. W. Nuttle
    Mathematical Methods of Operations Research, 2008, 67 : 391 - 421
  • [45] Risk pooling strategy in a multi-echelon supply chain with price-sensitive demand
    Dai, Yue
    Fang, Shu-Cherng
    Ling, Xiaoli
    Nuttle, Henry L. W.
    MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2008, 67 (03) : 391 - 421
  • [46] Centralized Decisions for a Two-Stage Supply Chain with Price-Discount Dependent Demand
    Xiyang HOU
    Yongjiang GUO
    Journal of Systems Science and Information, 2018, 6 (03) : 249 - 259
  • [47] Synchronized Two-Stage Lot Sizing and Scheduling Problem in Automotive Industry
    Uney-Yuksektepe, Fadime
    Ozdemir, Rifat Gurcan
    OPERATIONS RESEARCH PROCEEDINGS 2011, 2012, : 477 - 482
  • [48] Economic selection of process mean and lot-sizing decisions for multi-newsvendor supply chain
    Darwish, M. A.
    Aldaihani, Majid M.
    INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2015, 22 (06) : 1055 - 1070
  • [49] Heuristic approaches to solve a two-stage lot sizing and scheduling problem
    Pinho Schimidt, Talita Mariana
    Cassius Tadeu, Scarpin
    Valentim Loch, Gustavo
    Schenekemberg, Cleder Marcos
    IEEE LATIN AMERICA TRANSACTIONS, 2019, 17 (03) : 434 - 443
  • [50] Negotiation-based order lot-sizing approach for two-tier supply chain
    Chao Y.
    Lin H.W.
    Chen X.
    Murata T.
    IEEJ Transactions on Electronics, Information and Systems, 2010, 130 (09) : 1674 - 1680+22